Irrigation of Walnut Trees Managing the Water Potential

Chauvin, W.; Améglio, Thierry; Pruner, J.P.; Soing, P.

doi:10.17660/actahortic.2005.705.69

Cited by 2 publications

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“…Especially in the summer, there should be enough water and humidity in the soil. According to many studies that have examined crop yield response to irrigation of walnut trees, the annual water demand of walnut trees is around 750-1500 mm (Goldhamer et al, 1982;Golhamer et al, 1984;Fulton et al, 2003;Chauvin et al, 2005;FAO, 2012;Goldhamer and Beede, 2015). There are many studies about irrigation modernization as well as various irrigation project designs (Andrade and Allen, 1999;Fukui et al, 1980;Ortega et al, 2004;Rocamora et al, 2013;Zapata et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Crop water use estimation of drip irrigated walnut using ANNs and ANFIS models

Dökmen

Ahi²,

Köksal³

2022

ATM

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Walnut trees, as well as their fruits, represent an important sector of the agricultural industry and their cultivation significantly contributes to the global economy. Irrigation is a key factor in walnut cultivation and the most important problem is related to accurately estimating the need for irrigation water. Walnut water use was estimated in this study through the artificial intelligence methods of Artificial Neural Networks (ANNs) and Adaptive Neuro-Fuzzy Inference System (ANFIS) using meteorological data in western Türkiye, which has semi-arid climatic conditions. Probabilistic scenarios based on maximum, minimum and average temperature, wind speed and sunshine hours over the period 2016-2019 were developed and tested with ANNs and ANFIS models to estimate walnut evapotranspiration. Results indicate that the optimum performance in the training and testing for ANNs and ANFIS models was obtained from the fourth scenario with R = 0.95 and two climate parameters -sunshine duration and mean temperature-. Both ANNs and ANFIS models were able to predict crop water use obtaining high correlation and the minimum number of climatic parameters. Nevertheless, the ANFIS model had a higher predictive capacity, with smaller MSE (0.36 for training and 0.29 for testing) compared to the ANNs model.

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Section: Introductionmentioning

confidence: 99%

Crop water use estimation of drip irrigated walnut using ANNs and ANFIS models

Dökmen

Ahi²,

Köksal³

2022

ATM

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“…Pressure chamber has been used widely to measure leaf or stem water potential for plant water status determination and irrigation scheduling for many crops (Chauvin et al, 2006;Lampinen et al, 2001;Naor, 2000;Shackel et al, 1997). However, this conventional method is tedious and time consuming, and frequently result in an inadequate amount of sampling (Cohen et al, 2005), and is not suitable for commercial applications (Jones, 2004).…”

Section: Introductionmentioning

confidence: 99%

Plant Water Stress Detection Using Leaf Temperature and Microclimatic Information

Udompetaikul¹,

Upadhyaya²,

Slaughter³

et al. 2011

2011 Louisville, Kentucky, August 7 - August 10, 2011

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The authors are solely responsible for the content of this technical presentation. The technical presentation does not necessarily reflect the official position of the American Society of Agricultural and Biological Engineers (ASABE), and its printing and distribution does not constitute an endorsement of views which may be expressed. Technical presentations are not subject to the formal peer review process by ASABE editorial committees; therefore, they are not to be presented as refereed publications.

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Irrigation of Walnut Trees Managing the Water Potential

Cited by 2 publications

References 0 publications

Crop water use estimation of drip irrigated walnut using ANNs and ANFIS models

Crop water use estimation of drip irrigated walnut using ANNs and ANFIS models

Plant Water Stress Detection Using Leaf Temperature and Microclimatic Information

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